EP3816965A1 - Procédé et dispositif d'assistance au déplacement - Google Patents

Procédé et dispositif d'assistance au déplacement Download PDF

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Publication number
EP3816965A1
EP3816965A1 EP18924837.0A EP18924837A EP3816965A1 EP 3816965 A1 EP3816965 A1 EP 3816965A1 EP 18924837 A EP18924837 A EP 18924837A EP 3816965 A1 EP3816965 A1 EP 3816965A1
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EP
European Patent Office
Prior art keywords
reliability
degree
traveling route
subject vehicle
preceding vehicle
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP18924837.0A
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German (de)
English (en)
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EP3816965A4 (fr
EP3816965B1 (fr
Inventor
Akinobu Goto
Takashi Fukushige
Satoshi Tange
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Renault SAS
Nissan Motor Co Ltd
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Nissan Motor Co Ltd
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Publication of EP3816965A4 publication Critical patent/EP3816965A4/fr
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/22—Platooning, i.e. convoy of communicating vehicles
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
    • B60W30/095—Predicting travel path or likelihood of collision
    • B60W30/0956—Predicting travel path or likelihood of collision the prediction being responsive to traffic or environmental parameters
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/10—Path keeping
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/10—Path keeping
    • B60W30/12—Lane keeping
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/14—Adaptive cruise control
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/14—Adaptive cruise control
    • B60W30/16—Control of distance between vehicles, e.g. keeping a distance to preceding vehicle
    • B60W30/165—Automatically following the path of a preceding lead vehicle, e.g. "electronic tow-bar"
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/10—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to vehicle motion
    • B60W40/105—Speed
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W60/00—Drive control systems specially adapted for autonomous road vehicles
    • B60W60/001—Planning or execution of driving tasks
    • B60W60/0027—Planning or execution of driving tasks using trajectory prediction for other traffic participants
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2520/00—Input parameters relating to overall vehicle dynamics
    • B60W2520/14—Yaw
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2552/00—Input parameters relating to infrastructure
    • B60W2552/30—Road curve radius
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2552/00—Input parameters relating to infrastructure
    • B60W2552/53—Road markings, e.g. lane marker or crosswalk
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2554/00—Input parameters relating to objects
    • B60W2554/40—Dynamic objects, e.g. animals, windblown objects
    • B60W2554/404—Characteristics
    • B60W2554/4041—Position
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2554/00—Input parameters relating to objects
    • B60W2554/40—Dynamic objects, e.g. animals, windblown objects
    • B60W2554/404—Characteristics
    • B60W2554/4044—Direction of movement, e.g. backwards
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2554/00—Input parameters relating to objects
    • B60W2554/80—Spatial relation or speed relative to objects
    • B60W2554/801—Lateral distance
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2556/00—Input parameters relating to data
    • B60W2556/20—Data confidence level
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2556/00—Input parameters relating to data
    • B60W2556/40—High definition maps
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2556/00—Input parameters relating to data
    • B60W2556/45—External transmission of data to or from the vehicle
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2556/00—Input parameters relating to data
    • B60W2556/45—External transmission of data to or from the vehicle
    • B60W2556/50—External transmission of data to or from the vehicle of positioning data, e.g. GPS [Global Positioning System] data

Definitions

  • the present invention relates to the travel support method and the travel support device which controls travel of a Vehicle.
  • a traveling route generator centering the traveling route of a preceding vehicle sets a subject vehicle traveling area so that the lower the recognition likelihood of the preceding vehicle is, the larger the width of the area is, and generate a traveling route of a subject vehicle which passes within a overlapping range of a traveling area of the subject vehicle and a traveling area of the preceding vehicle (for example, Patent Document 1).
  • the problem to be solved by the present invention is to provide a travel support method and a travel support device capable of suppressing an unsteadiness of the subject vehicle.
  • the present invention solves the above problems by generating a subject vehicle traveling route based on an estimated position of the subject vehicle and map information, calculating a degree of first reliability indicating reliability of the subject vehicle traveling route, detecting a preceding vehicle using the on-board sensor, generating a preceding vehicle traveling route, calculating a degree of second reliability indicating reliability of the preceding vehicle traveling route based on a shape of the preceding vehicle traveling route, calculating a integration ratio for integrating the subject vehicle traveling route and the preceding vehicle traveling route based on the degree of the first reliability and the degree of the second reliability, and integrating the subject vehicle traveling route and the preceding vehicle traveling route at an integration ratio, calculating a target traveling route of the subject vehicle, and controlling the subject vehicle based on the target traveling route.
  • the present invention it is possible to recognize the difference between the traveling route of the preceding vehicle and the traveling route of the subject vehicle, it is possible to suppress the unsteadiness of the subject vehicle by following the preceding vehicle.
  • Fig. 1 is a diagram showing a configuration of a travel support device 100 of the vehicle according to an embodiment of the present invention.
  • the travel support device 100 includes a subject vehicle position detection device 110, a map database 120, a vehicle speed sensor 130, a ranging sensor 140, a camera 150, a drive mechanism 170, a controller 180, and a yaw rate sensor 190. These devices are connected to each other via a controller area network (CAN) or other in-vehicle LAN for mutually exchanging information.
  • CAN controller area network
  • the subject vehicle position detection device 110 includes a GPS unit, which detects radio waves transmitted from a plurality of satellite communications by a locator (GPS antenna) to periodically obtain the position information of the subject vehicle, and detects the current position of the subject vehicle based on the acquired position information of the subject vehicle, angle change information acquired from a gyro sensor, and a vehicle speed acquired from a vehicle speed sensor.
  • the subject vehicle position detection device 110 can detect the position of the subject vehicle using a well-known map matching technique.
  • the mapping data base 120 contains map information.
  • the map information stored by the map database 120 contains information about road shapes at each map coordinate, such as attributes about curves, hills, intersections, interchanges, narrow lines, straight lines, shoulder structures, and merge points, associated with the map coordinate.
  • the map information is a high accuracy map for use in automated vehicle operation control.
  • the vehicle speed sensor 130 measures a rotational speed of a drive system, such as a drive shaft, and based on this, the vehicle speed sensor 130 detects a traveling speed of the subject vehicle (hereinafter, also referred to as Vehicle speed). Vehicle speed information of the subject vehicle detected by the vehicle speed Sensor 130 is output to the controller 180.
  • the yaw rate sensor 190 is mounted in an appropriate position such as a vehicle interior, detects a yaw rate of the subject vehicle (change speed of the rotation angle in the rotation direction), the detected yaw rate information of the subject vehicle is output to the controller 180.
  • the ranging sensor 140 detects objects present around the subject vehicle. In addition, the ranging Sensor 140 calculates the relative distances and relative velocities between the subject vehicle and the object. Information of the object detected by the ranging Sensor 140 is transmitted to the controller 180.
  • the range finding Sensor 140 may be a laser radar, a millimeter-wave radar, or the like (such as LRF).
  • the camera 150 captures roads and objects around the subject vehicle. In this embodiment, the camera 150 captures the front of the subject vehicle. Image information captured by the camera 150 is transmitted to the controller 180. Camera 150 is a camera that captures the front of the subject vehicle and/or the side of the subject vehicle.
  • the input device 160 is a device operable by a driver.
  • the driver can set on/off of the automated operation control by operating the input device 160.
  • the automated operation control of the vehicle when a preceding vehicle exists in front of the subject vehicle, the distance between the subject vehicle and the preceding vehicle is maintained at the distance set by the driver so that the subject vehicle follows the preceding vehicle (the preceding vehicle follow-up control) .
  • speed control is performed to run the subject vehicle at the vehicle speed set by the driver.
  • the driver can operate the input device 160 thereby to set a vehicle speed (e.g. a specific speed value) of the subject vehicle in the speed control and a set distance between vehicles (e.g. any of three stages of a short distance, a medium distance, and a long distance) in the control for the distance between vehicles.
  • a vehicle speed e.g. a specific speed value
  • a set distance between vehicles e.g. any of three stages of a short distance, a medium distance, and a long distance
  • the drive mechanism 170 includes an engine and/or a motor (power system), brakes (brake systems) and steering actuators (steering systems) for an automated travel of the subject vehicle, and the like.
  • the controller 180 controls the operation of the drive mechanism 170.
  • the controller 180 is a computer having a processor, including a ROM (Read Only Memory) storing a program for controlling travel of the subject vehicle, a CPU (Central Processing Unit) executing a program stored in the ROM, and a RAM (Random Access Memory) serving as an accessible storage device.
  • ROM Read Only Memory
  • CPU Central Processing Unit
  • RAM Random Access Memory
  • a micro processing unit (MPU), a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or the like can be used as an operation circuit instead of or in addition to the CPU.
  • the controller 180 by executing the program stored in the ROM by the CPU, performs a subject vehicle traveling route generation function for generating a traveling route of the subject vehicle, a preceding vehicle traveling route generation function for generating a traveling route of the preceding vehicle, an integrated function for integrating the subject vehicle traveling route and the preceding vehicle traveling route, and a running control function (including an automated follow-up function) that controls the travel of the subject vehicle.
  • a subject vehicle traveling route generation function for generating a traveling route of the subject vehicle
  • a preceding vehicle traveling route generation function for generating a traveling route of the preceding vehicle
  • an integrated function for integrating the subject vehicle traveling route and the preceding vehicle traveling route
  • a running control function including an automated follow-up function
  • the controller 180 calculates the subject vehicle traveling route based on the position of the subject vehicle and the map information by the subject vehicle traveling route generation function.
  • the controller 180 estimates the position of the subject vehicle on the map based on the position information of the subject vehicle detected by the vehicle position detecting device 110 and the map information.
  • the controller 180 generates a trajectory of the subject vehicle from a point column of points (Coordinate positions) indicating the estimated position of the subject vehicle.
  • the controller 180 may calculate the subject vehicle traveling route using the capture image captured by the camera 150. For example, the controller 180 detects lanes from the capture images on the side and/or ahead of the subject vehicle.
  • the controller 180 may generate the subject vehicle traveling route by identifying the boundaries of the detected lanes as traveling route boundaries.
  • the controller 180 generates the preceding vehicle traveling route by the preceding vehicle traveling route generation function.
  • the preceding vehicle traveling trajectory is represented by the preceding vehicle trajectories, a traveling route boundary, and/or a traveling area.
  • the controller 180 uses the capture image of the cameras 150 and/or the detected data of the ranging Sensor 140 to detect the preceding vehicle which travels in front of the subject vehicle.
  • the controller 180 estimates the position of the detected preceding vehicle and generates the trajectory of the preceding vehicle from a point column of the estimated positions.
  • the controller 180 also identifies a shape of the generated preceding vehicle traveling trajectory.
  • the controller 180 integrates the subject vehicle traveling route and the preceding vehicle traveling trajectory to generate the target traveling route through an integrated function.
  • the target traveling route is a target route when the subject vehicle travels under the automated driving control.
  • the target traveling route is represented by a target traveling trajectory, a target traveling route boundary, and/or a target traveling area.
  • the controller 180 calculates the degrees of reliability of the preceding vehicle traveling route and the subject vehicle traveling route.
  • the degree of reliability of the subject vehicle traveling route is a degree indicating the precision of the generated subject vehicle traveling route. For example, when accuracy of the map information used to generate the subject vehicle traveling route is low, the degree of the reliability of the subject vehicle traveling route generated by a calculation process using the map information is low.
  • the degree of the reliability of the subject vehicle traveling route corresponds to the degree of coincidence of the travel route obtained by a calculation with respect to the actual traveling route.
  • the degree of the reliability of the preceding vehicle traveling route represents the difference between the preceding vehicle traveling route and the subject vehicle traveling route. For example, when the accuracy of the camera is low and recognition accuracy of the preceding vehicle is low, the calculation accuracy of the preceding vehicle traveling trajectory generated based on the detection data of the camera is low. Such accuracy degradation affects the accuracy of the preceding vehicle traveling route itself. For example, when the preceding vehicle changes lanes while the subject vehicle is following the preceding vehicle under the automated operation control, the preceding vehicle travel route deviates from the subject vehicle travel route.
  • the controller 180 identifies the difference between the subject vehicle traveling route and the preceding vehicle traveling route from the shape of the preceding vehicle traveling route. For example, when the preceding vehicle turns right or left or changes lanes while the subject vehicle is traveling in a linear lane, a shape of the preceding vehicle traveling route is not a straight line. That is, the controller 180 calculates the degree of the reliability of the preceding vehicle traveling route based on the shape of the preceding vehicle traveling route. Method of calculating the degrees of the reliability of the preceding vehicle traveling route and the subject vehicle traveling route will be described later. In the following description, the degree of the reliability of the subject vehicle traveling route is also referred to as "Degree of the first reliability" and the degree of the reliability of the preceding vehicle traveling route is also referred to as "Degree of the second reliability".
  • the controller 180 calculates an integration ratio for integrating the subject vehicle traveling route and the preceding vehicle traveling route based on the degree of the first reliability and the degree of the second reliability.
  • the integration ratio indicates which of the subject vehicle traveling route and the preceding vehicle traveling route is weighted by a value.
  • the integration ratio corresponds to the weighting of the subject vehicle traveling route and the preceding vehicle traveling route.
  • the controller 180 calculates the target traveling route of the subject vehicle by integrating the subject vehicle traveling route and the preceding vehicle traveling route at the calculated integration ratio.
  • the controller 180 controls the drive mechanism 170 by the traveling control function, to perform the automated operation control that automatically performs all or a part of the travel of the subject vehicle so that the subject vehicle travels on the target traveling route.
  • the traveling control function when the preceding vehicle exists in front of the subject vehicle, the operation of the driving mechanism 170, such as an engine or brake, is controlled to perform a vehicle-to-vehicle distance control in which the subject vehicle travels away from the preceding vehicle by the distance which is set by the vehicle-to-vehicle distance setting function.
  • the controller 180 controls the operation of the driving mechanism 170, such as an engine, a brake, and a steering actuator, when the preceding vehicle exists in front of the subject vehicle, so that the distance between the subject vehicle and the preceding vehicle is the distance between the vehicles which is set by the vehicle-to-vehicle distance setting function, and performs the automated follow-up control so that the subject vehicle travels on the traveling trajectory of the preceding vehicle. Further, when the preceding vehicle exists in front of the subject vehicle, the controller 180 performs, by controlling the operation of the drive mechanism 170, such as an engine or brake, a speed travelling control in which the subject vehicle travels at a predetermined set speed by drivers. Note that, the automated driving control by the running control function is performed under observing the traffic laws and regulations of each country.
  • the driving mechanism 170 such as an engine, a brake, and a steering actuator
  • FIG. 2 is a block diagram showing flows of a control process of the present embodiment.
  • the traveling control process described below is executed by the controller 180. Further, the traveling control process described below starts when an ignition switch or a power switch is turned on, and is repeatedly performed at a predetermined period (for example, every 10 milliseconds) by the ignition switch or the power switch is turned off.
  • the following description is based on an exemplary scene in which the automated operation control is input (turned on) by the driver. That is, when the driver turns on the automated operation control via the input device 160, and the preceding vehicle exists in front of the subject vehicle, the automated follow-up control is performed to follow the subject vehicle while the subject vehicle is away from the preceding vehicle by the set distance.
  • the controller 180 acquires the position information of the subject vehicle detected by the subject vehicle position detection device 110 and acquires the map information from the map database 120.
  • the controller 180 estimates the position of the subject vehicle on the map based on the map information.
  • the controller 180 acquires the subject vehicle traveling boundary by identifying the traveling route on which the subject vehicle is currently traveling, based on the estimated position of the subject vehicle and the map information.
  • the boundaries correspond to the left and right boundaries (lane boundaries) of the lane on which the subject vehicle is currently traveling.
  • the controller 180 may acquire the traveling route boundary from the map database 120.
  • the controller 180 may acquire the lane boundary by image processing of the captured image of the camera 150.
  • the controller 180 acquires the information of the preceding vehicle by image processing of the captured image of the camera 150.
  • the controller 180 also estimates the position of the preceding vehicle based on information of the preceding vehicle.
  • the controller 180 may acquire information of the preceding vehicle from the detected data of the ranging sensor 140.
  • the controller 180 calculates the traveling trajectory of the preceding vehicle based on the acquired information of the preceding vehicle.
  • the controller 180 acquires the preceding vehicle traveling boundary by generating a traveling route on which the preceding vehicle is currently traveling, based on the map information and the estimated preceding vehicle position.
  • the controller 180 calculates the degrees (Degrees of the first and second reliability) of the reliability of the subject vehicle traveling route (the subject vehicle traveling route boundary) and the preceding vehicle traveling route (the preceding vehicle traveling route boundary), calculates the integration ratio based on the calculated degree of reliability, and integrates the subject vehicle traveling route and the preceding vehicle traveling route at the calculated integration ratio.
  • the traveling boundary included in the traveling route will be described as an example, but the centerline of the lane may be used, for example, instead of the traveling boundary.
  • Fig. 3 is a block diagram for explaining flows of the control process S600.
  • the controller 180 calculates the degree of the first reliability based on the traveling boundaries of the subject vehicle.
  • the controller 180 calculates the degree of the second reliability based on the traveling boundaries of the preceding vehicle.
  • the controller 180 integrates the subject vehicle traveling boundary and the preceding vehicle traveling boundary based on the subject vehicle traveling boundary, the preceding vehicle traveling boundary, the degree of the first reliability, and the degree of the second reliability.
  • Fig. 4 is a block diagram for explaining flows of a control process S610.
  • the controller 180 calculates a degree of reliability for the high accuracy map in the control process of the step S610.
  • the high accuracy map contains information used to perform the automated traveling control. Depending on the place on the map, the accuracy of the map may vary because the location of the feature, such as the lane boundary, as shown in the high accuracy map, may differ from the location of the actual feature.
  • the controller 180 calculates the degree of the reliability of the map by the following control flows.
  • step S611 the controller 180 calculates the variance values of the subject vehicle position based on the position of the subject vehicle estimated in predetermined period and the attitude of the subject vehicle.
  • the controller 180 estimates the position of the subject vehicle at a predetermined period.
  • the detection accuracy of the subject vehicle position detection device 110 is high, the estimated vehicle positions are aligned along the trajectory of the subject vehicle.
  • the detection accuracy of the subject vehicle position detection device 110 is low, the estimated subject vehicle position extends with respect to the traveling trajectory.
  • the controller 180 calculates this expansion as a dispersion value of the subject vehicle position. That is, the higher the dispersion value of the subject vehicle position is, the lower the estimation accuracy of the subject vehicle position is.
  • the controller 180 also uses the detected data of the yaw rate sensor 190 to detect the attitude of the subject vehicle. For example, when the subject vehicle is unsteady, the estimated car position is dispersed. Therefore, in order to increase a correlation between the detection accuracy of the subject vehicle position detection device 110 and the dispersion value of the subject vehicle position, the controller 180 corrects the dispersion value of the subject vehicle position according to the attitude of the subject vehicle.
  • the controller 180 refers to a map showing a correlation relationship between the dispersion value of the subject vehicle position and the degree of the first reliability, and calculates the degree of the first reliability corresponding to the calculated dispersion value.
  • Fig. 5 is a graph showing the relationship between the dispersion values of the subject vehicle position and the degree of the first reliability. As shown in Fig. 5 , there is a correlation between the dispersion value of the subject vehicle position and the degree of the first reliability. The greater the dispersion value of the subject vehicle position is, the lower the degree of the first reliability of the subject vehicle position is.
  • the controller 180 calculates a degree of map accuracy based on the detected value detected the onboard sensor such as the camera 150 and Map information.
  • the controller 180 identifies, from the map information, the map shape of the vicinity portions of the subject vehicle.
  • a map shape is identified, for example, from a road shape.
  • the controller 180 identifies the object corresponding to the map shape from the capture image of the camera 150.
  • the controller 180 identifies the road shape by detecting lanes, guardrails, white lines indicative of intersections, and the like from the imaging images. For example, inside an intersection, where no boundaries are specified, the degree of accuracy of the high accuracy maps is low.
  • the controller 180 when it is possible to identify the road shape using the onboard sensor, calculates the degree of coincidence between the road shape identified from the detection data of the onboard sensor and the map shape identified from the map information. Then, the controller 180 calculates the degree of the map accuracy so that the higher the degree of coincidence is, the higher the value indicating the map accuracy is.
  • the controller 180 refers to a map showing the correlation between the degrees of the map accuracy and the first reliability to calculate the degree of the first reliability corresponding to the calculated degree of the map accuracy.
  • Fig. 6 is a graph showing the relationship between the degrees of map accuracy and the first reliability. As shown in Fig. 6 , there is a correlation between the degrees of the map accuracy and the first reliability. The lower the degree of the map accuracy is, the lower degree of the first reliability of the subject vehicle position is.
  • the controller 180 selects the lower degree of the first reliability any lower of the degree of the first reliability calculated based on the dispersion value of the subject vehicle and the degree of the first reliability calculated based on the map accuracy (select low).
  • step S614 the controller 180 performs a rate-limiting process to the selected degree of the first reliability.
  • the upper limit change amount is set in advance.
  • the controller 180 calculates the change amount between the degrees of the first reliability calculated in this period and the previous period.
  • the controller 180 compares the calculated change amount and the upper limit change amount.
  • the amount obtained by limiting the change amount to the upper limit change amount is the degree of the first reliability.
  • the controller 180 outputs the degree of the first confidence value selected in the control process S613 steps, as it is.
  • Fig. 7 is a block diagram for explaining flows of a control process S620 steps.
  • the controller 180 calculates the degree of the reliability (hereinafter, also referred to as the degree of the single reliability) of the generated preceding vehicle traveling route boundary itself and the degree of the reliability (hereinafter, also referred to as the degree of the comparative reliability) which is calculated by comparing the subject vehicle traveling route boundary with the preceding vehicle traveling route boundary. Then, the controller 180 calculates the degree of the second reliability based on the degree of the single reliability and the degree of the comparative reliability.
  • the degree of the single reliability is represented by the degree of sensor reliability and the degree of the trajectory reliability
  • the degree of the comparative reliability is represented by the degrees of the curvature reliability and the lateral position reliability.
  • the degree of the single reliability may include at least one of the degree of sensor reliability and the degree of the trajectory reliability
  • the degree of the comparative reliability may include at least one of the degrees of the curvature reliability and lateral position reliability.
  • the controller 180 calculates the degree of sensor reliability based on the detected data of the onboard Sensor such as a camera.
  • the degree of sensor reliability corresponds to stability of detecting sensor. For example, if the preceding vehicle cannot be detected from the image captured by the camera due to disturbances, the degree of sensor reliability will be low.
  • the controller 180 calculates the degree of the trajectory reliability of the preceding vehicle traveling trajectory.
  • the degree of the trajectory reliability is an evaluation value that indicates whether or not the preceding vehicle traveling route boundary calculated by the operation processing of the step S400 and the step S500 is a route suitable for Target traveling route boundary operation, and is determined by the length of the preceding vehicle traveling trajectory. For example, if the preceding vehicle enters the front of the subject vehicle at cut-in and exits from the front of the subject vehicle in a short time, the preceding vehicle traveling trajectory will be shortened. In such cases, the degree of the trajectory reliability is low.
  • the controller 180 calculates the degree of the trajectory reliability so that the shorter preceding vehicle traveling trajectory, the lower the degree of the trajectory reliability.
  • the controller 180 selects the lower degree of reliability of the degree of sensor reliability and the degree of the trajectory reliability.
  • the selected Reliability is turned the degree of the single reliability.
  • the controller 180 calculates Difference in the curvature between curvature of the traveling trajectory of the vehicle and curvature of the preceding vehicle traveling trajectory, and calculates the degree of the curvature reliability based on Difference in the curvature.
  • the degree of the curvature reliability is an assessment of the difference in the preceding vehicle traveling trajectory with respect to the trajectory of the vehicle in curvature.
  • the controller 180 calculates the degree of the curvature reliability so that the greater the difference in the curvature is, the lower degree of the curvature reliability is.
  • the preceding vehicle changes lanes while the subject vehicle is following the preceding vehicle with the automated follow-up function, this lane change appears in the difference in the curvature.
  • the difference in the curvature is large, lowering the degree of the curvature reliability prevents the subject vehicle target route from becoming the preceding vehicle route for lane changes.
  • the controller 180 refers to a map showing Correlation between Difference in the curvature and the degree of the curvature reliability and calculates the degree of the curvature reliability corresponding to the computed Difference in the curvature.
  • Fig. 8 is a graph showing a correlation between the difference in the curvature and the degree of the curvature reliability. As shown in Fig. 8 , there is a correlation between the difference in the curvature and the degree of the curvature reliability. The larger the difference in the curvature is, the lower the degree of the curvature reliability is.
  • the controller 180 also refers to the map and calculates the degree of the curvature reliability corresponding to the difference in the curvature, depending on the vehicle speed of the subject vehicle.
  • the solid line graph shows the characteristics when a vehicle speed is small.
  • the dotted line graph shows the characteristics when a vehicle speed is high.
  • the correlation relationship between the difference in the curvature and the degree of the curvature reliability is such that when the difference in the curvature is the same, the greater the vehicle speed is, the lower the degree of the curvature reliability is. For example, if Vehicle speed of the preceding vehicle is large and the preceding vehicle changes the lane, curvature of the preceding vehicle traveling trajectory becomes small. On the other hand, if the preceding vehicle changes the lane while Vehicle speed of the preceding vehicle is small, curvature of the preceding vehicle traveling trajectory increases.
  • the degree of the comparative reliability is calculated appropriately according to the vehicle speed of the preceding vehicle by changing the correlation between the difference in the curvature and the degree of the curvature reliability according to a vehicle speed.
  • step S625 the controller 180 calculates the deviation between the position of the lateral direction of the subject vehicle on the subject vehicle traveling route boundary and the position of the lateral direction of the preceding vehicle position on the preceding vehicle traveling route boundary.
  • the lateral direction is a width direction of the vehicle.
  • the position of the vehicle may be on the traveling route boundary of the traveling route and/or on the centerline of the traveling route.
  • the position of the vehicle may be on one of the traveling route boundaries of the right and left traveling route boundaries.
  • the preceding vehicle traveling route boundary is a different route from the subject vehicle traveling route boundary and the deviation of the lateral position is large.
  • the controller 180 lowers the lateral position reliability as the lateral deviation is greater.
  • the lateral position reliability is an assessment of the difference in the preceding vehicle traveling route boundary with respect to the subject vehicle boundary in the lateral position.
  • the controller 180 calculates the degree of lateral direction reliability so that the greater the lateral position deviation is, the lower the lateral position reliability is.
  • the controller 180 refers to a map showing correlation between the position deviation of the lateral direction (hereinafter also referred to as the lateral position deviation) and the lateral position reliability, and calculates the lateral position reliability corresponding to the calculated lateral position deviation.
  • Fig. 9 is a graph showing the correlation between the lateral position deviation and the lateral position reliability. As shown in Fig. 9 , there is a correlation between the lateral position deviation and the degree of the lateral position reliability. The larger the lateral position deviation is, the lower the degree of the lateral position reliability is.
  • the controller 180 also refers to the map and calculates the lateral position reliability corresponding to the lateral position deviation, according to the vehicle speed of the subject vehicle.
  • the solid line graph shows the characteristics when a vehicle speed is small.
  • the dotted line graphs show the characteristics when a vehicle speed is large.
  • the correlation relationship between the lateral position deviation and the lateral position reliability is such when the lateral position deviation is the same, the greater the vehicle speed is, the lower the degree of the lateral position reliability is.
  • the degree of the comparative reliability is calculated appropriately according to vehicle speed of the preceding vehicle by changing the correlation between the lateral position deviation and the lateral position reliability according to a vehicle speed.
  • step S626 the controller 180 selects the degree of reliability of any lower of the degree of the curvature reliability and lateral position reliability.
  • the selected reliability is set to the degree of the comparative reliability.
  • step S627 the controller 180 selects the lower degree of reliability of any lower of the degree of the single reliability and the comparative reliability.
  • the selected reliability is set to the degree of the second reliability.
  • step S628 the controller 180 performs a rate-limiting process to the selected degree of the second reliability.
  • the upper limit value of the amount of change is set in advance.
  • the controller 180 calculates the change amount between the degrees of the second reliability calculated in the previous period and this period.
  • the controller 180 compares the calculated change amount and the upper limit change amount.
  • the amount obtained by limiting the change amount to the upper limit change amount is the degree of the second reliability.
  • the controller 180 outputs the degree of the second reliability selected in the control process S627 steps, as it is.
  • Controller 180 by performing the above control flow, after performing the control process of the step S600, performing the control process of the step S700 shown in Fig.2 .
  • step S700 the controller 180 generates a target traveling route based on the degree of the first reliability and the degree of the second reliability.
  • the control process of the target traveling route will be described with reference to Fig. 10 .
  • the controller 180 calculates the integration ratio based on the degree of the first reliability and the degree of the second reliability. Integration ratio is represented as the ratio of the degree of the first reliability to the total reliability, which is obtained by adding the degrees of the first reliability and of the second reliability, and the ratio of the degree of the second reliability to the total reliability. The controller 180 corrects the lateral direction coordinate of the subject vehicle traveling route boundary and the lateral direction coordinate of the preceding vehicle traveling route boundary with the corresponding Integration ratio, to calculate the combined traveling route boundary.
  • the controller 180 calculates the lateral direction coordinate of the integrated traveling route boundaries using Equation (1) below.
  • the traveling direction of the subject vehicle is x-axis and the width direction of the car is y-axis.
  • y i,j indicates y coordinate on the integrated traveling route boundary
  • y a_i, j indicates y coordinate on the subject vehicle traveling route boundary
  • y b_i, j indicates y Coordinate on the preceding vehicle traveling route boundary.
  • R a_i,j indicates the degree of the first reliability
  • R b_i, j indicates the degree of the second reliability.
  • i indicates the order of detection
  • j indicates the left and right.
  • the degree of the first reliability and the degree of the second reliability are normalized between 0 and 1.
  • y i , j R a _ i , j R a _ i , j + R b _ i , j ⁇ y a _ i , j + R b _ i , j R a _ i , j + R b _ i , j ⁇ y b _ i , j
  • the coefficients to be multiplied by y Coordinate (y a_i, j ) and y Coordinate (y b_i, j ) correspond to the integration ratio.
  • the degree of the first reliability and the degree of the second reliability are both 0.5
  • the y Coordinate of the integrated traveling route boundary is the midpoint between y coordinate of the subject vehicle traveling route boundary and y coordinate of the preceding vehicle traveling route boundary.
  • the degree of the first reliability and the degree of the second reliability are compared and the degree of the first reliability is higher than the degree of the second reliability, the y coordinate of the integrated traveling route boundary is closer to the y coordinate of the subject vehicle traveling route boundary than the y coordinate of the preceding vehicle traveling route boundary.
  • the controller 180 may also compute the integration ratio so that the degree of the first reliability is weighted than the degree of the second reliability. Referring to Figs. 11 and 12 , the weighting in the calculation process of the integration ratio and the relationship between the subject vehicle traveling route boundary, the preceding vehicle traveling route boundary, and the traveling route boundary of the post-integration traveling route will be described.
  • An upper reliability threshold and a lower reliability threshold are set for the degree of the first reliability and the degree of the second reliability, respectively.
  • the upper reliability threshold is set higher than the lower reliability threshold.
  • a state in which the degree of the first reliability is higher than the upper reliability threshold is defined as "high”
  • a state in which the degree of the first reliability is lower than or equal to the higher reliability threshold and higher than the lower reliability threshold, which is below the upper reliability threshold is defined as "medium”
  • a state in which the degree of the first reliability is lower than the lower reliability threshold is defined as "low.”
  • (a) to (c) in Fig. 11 correspond to (a) to (c) in Fig. 12 .
  • the integration ratio is set so that a utilization ratio of the subject vehicle traveling route boundary is 100% and a utilization ratio of the preceding vehicle traveling route boundary is 0%.
  • the integration ratio is set so that the utilization ratio of the subject vehicle traveling route boundary is 100% and the utilization ratio of the preceding vehicle traveling route boundary is 0%.
  • the controller 180 calculates the integration ratio so that the ratio of the degree of the first reliability is greater than the ratio of the degree of the second reliability.
  • Fig. 12(a) shows the traveling route boundary when the degree of the first reliability is at "high” and the degree of the second reliability is at “high”.
  • the traveling route boundary after integration coincides with the subject vehicle traveling route boundary.
  • the controller increase the utilization ratio of the subject vehicle traveling route regardless of the degree of the reliability of the preceding vehicle traveling route. This allows the subject vehicle to travel stably in the subject vehicle lane without unsteadiness in the preceding vehicle lane or following the steady position deviation.
  • the integration ratio is set so that the utilization ratio of the subject vehicle traveling route boundary is 50% and the utilization ratio of the preceding vehicle traveling route boundary is 50%.
  • the integration ratio is set so that the utilization ratio of the subject vehicle traveling route boundary is 100% and the utilization ratio of the preceding vehicle traveling route boundary is 0%. That is, when the degree of the first reliability is lower than or equal to the lower reliability threshold, the controller 180 calculates the integration ratio to include the degree of the first reliability.
  • Fig. 12 (b) shows the traveling route boundaries when the degree of the first reliability is at "high” and the degree of the second reliability is at “medium”. As shown in Fig. 12b , after the integration, the traveling route boundary shifts slightly toward the preceding vehicle traveling route boundary with respect to the position of the subject vehicle traveling route boundary. In other words, when the degree of the first reliability is lower than or equal to the lower reliability threshold, it can travel stably in the subject vehicle lane by utilizing the subject vehicle traveling route.
  • the integration ratio is set so that the utilization ratio of the subject vehicle traveling route boundary is 0% and the utilization ratio of the preceding vehicle traveling route boundary is 100%.
  • the integration ratio is set so that the utilization ratio of the subject vehicle traveling route boundary is 0% and the utilization ratio of the preceding vehicle traveling route boundary is 0%.
  • the controller 180 calculates the integration ratio so that the ratio of the degree of the second reliability is greater than the ratio of the degree of the first reliability.
  • Fig. 12(c) shows the traveling route boundaries when the degree of the first reliability is at "low” and the degree of the second reliability is at "high”. As shown in Fig. 12c , the integrated traveling route boundary coincides with the preceding vehicle traveling route boundary. In a state in which the degree of the reliability of the subject vehicle traveling route is low, the controller 180 increases the utilization ratio of the preceding vehicle traveling route when the degree of reliability of the preceding vehicle traveling route is high. This allows the subject vehicle to travel stably in the lane.
  • the controller 180 generates a target traveling route by calculating a target traveling route boundary based on the map information and the integrated traveling route boundary.
  • a step S800 the controller 180 controls the operation of the drive 170 such that the subject vehicle travels on the target traveling route.
  • the subject vehicle traveling route is generated based on the estimated subject vehicle position and the map information, the degree of the first reliability indicating reliability of the subject vehicle traveling route is calculated, the preceding vehicle is detected, the preceding vehicle traveling route is generated, and the degree of the second reliability indicating reliability of the preceding vehicle traveling route is calculated based on the shape of the preceding vehicle traveling route. Then, based on the degrees of the first reliability and the second reliability, the integration ratio for integrating the subject vehicle traveling route and the preceding vehicle traveling route is calculated, and by integrating the subject vehicle traveling route and the preceding vehicle traveling route at the integration ratio, the target traveling route of the subject vehicle is calculated, and the subject vehicle is controlled based on the target traveling route.
  • the lower the degree of the estimation accuracy of the subject vehicle position is, the lower the degree of the first reliability is.
  • the estimation accuracy of the position is lowered, there is a possibility that a steady deviation occurs in the lateral position and the attitude angle of the subject vehicle.
  • the traveling route boundary is not determined due to white lines, curbs, etc. (e.g., inside an intersection), or where the actual shape may differ from the map due to road construction, etc.
  • the degree of map accuracy is low. In the present embodiment, it is possible to suppress unsteadiness of the subject vehicle generated by the decrease in the degree of the map accuracy.
  • the degrees of the estimation accuracy of the subject vehicle position and the map accuracy are calculated, and the degree of the first reliability is calculated based on any lower one of degrees of the detection accuracy and the map accuracy. It is possible to suppress unsteadiness of the subject vehicle when either the degree of the estimation accuracy of the subject vehicle or the degree of the map accuracy is lowered.
  • the degree of the single reliability of the preceding vehicle traveling route is calculated using the preceding vehicle detection data detected by the sensor, the subject vehicle traveling route and the preceding vehicle traveling route are compared to calculate the degree of the comparative reliability, and the degree of the second reliability is calculated based on the degrees of the single reliability and the comparative reliability.
  • the degree of sensor reliability is calculated by evaluating stability of the sensor detection, the preceding vehicle traveling trajectory contained in the preceding vehicle traveling route is generated by using the sensor detection data, the degree of the trajectory reliability determined by the length of the preceding vehicle traveling trajectory is calculated, and the degree of the single reliability is calculated based on the degrees of the sensor reliability and the trajectory reliability.
  • the degree of the detection accuracy of the preceding vehicle is low, the traveling trajectory of the preceding vehicle is often disturbed.
  • the degree of the second reliability based on the degree of the trajectory reliability, it is possible to prevent the subject vehicle from unsteadiness caused by following the trajectory of the preceding vehicle by the subject vehicle.
  • the degree of the single reliability is calculated based on any lower one of the degree of the reliability of the sensor reliability and the degree of the trajectory reliability.
  • the difference in the curvature between curvature of the subject vehicle traveling route and curvature of the preceding vehicle traveling route is calculated, and the larger the difference in the curvature is, the lower the degree of the comparative reliability is. This prevents the subject vehicle from unsteadiness caused by following the preceding vehicle by the subject vehicle when the preceding vehicle changes lanes (particularly when the low-speed preceding vehicle changes lanes).
  • the degree of the comparative reliability is calculated based on the vehicle speed of the subject vehicle and the difference in the curvature, using the correlation relationship that the higher the vehicle speed of the subject vehicle is, the lower the degree of the comparative reliability is, when the differences in the curvature is the same.
  • the calculation reference of the reliability of the preceding vehicle traveling route can be changed according to the vehicle speed.
  • the route change of the preceding vehicle can be appropriately determined according to the vehicle speed size of the preceding vehicle, and it is possible to prevent the subject vehicle from unsteadiness caused by following the preceding vehicle by the subject vehicle
  • the deviation between the lateral position of the subject vehicle on the subject vehicle traveling route and the lateral position of the preceding vehicle on the preceding vehicle traveling route is calculated.
  • the difference in the curvature between the curvature of the subject vehicle traveling route and the curvature of the preceding vehicle traveling route is calculated
  • the degree of the curvature reliability is calculated based on the correlation between the degree of the reliability of the preceding vehicle traveling route and the difference in the curvature
  • the deviation between the lateral position of the subject vehicle on the subject vehicle traveling route and the lateral position of the preceding vehicle on the preceding vehicle traveling route is calculated
  • the degree of the lateral reliability is calculated based on the correlation between the deviation and the amount of the reliability of the preceding vehicle traveling route
  • the degree of the second reliability is calculated based on any lower degree of the reliability of the degree of the curvature reliability and the degree of lateral reliability. Therefore, it is possible to recognize changes in the preceding vehicle traveling route in the entire vehicle speed range, and prevents the subject vehicle from unsteadiness caused by following the preceding vehicle by the subject vehicle.
  • the degree of the second reliability is calculated based on any lower degree of reliability of the degree of the single reliability and the degree of the comparative reliability. Thus, it is prevents the subject vehicle from unsteadiness when either the degree of the preceding vehicle detection accuracy is lowered or the traveling route of the preceding vehicle is changed.
  • the lateral direction coordinate of the subject vehicle on the subject vehicle traveling route and the lateral coordinate of the preceding vehicle on the preceding vehicle traveling route are estimated, and the target traveling route is calculated by integrating the coordinates of the subject vehicle and the preceding vehicle at the integration ratio.
  • the target traveling route is switched by selecting the subject vehicle traveling route or the preceding vehicle traveling route, the subject vehicle behavior may change suddenly.
  • the target traveling route changes continuously, it is possible to prevent sudden changes in the behavior of the vehicle.
  • the target traveling route is calculated so that the ratio of the subject vehicle traveling route is greater than that of the preceding vehicle traveling route.
  • the target traveling route is calculated so that the ratio of the subject vehicle traveling route is greater than that of the preceding vehicle traveling route.
  • the target traveling route is calculated so that the ratio of the preceding vehicle traveling route is greater than that of the subject vehicle traveling route.
  • the degree of the first reliability when calculating the degree of the first reliability, is calculated by calculating the degree of the reliability based on different elements such as the dispersion value of the subject vehicle position and map accuracy, and then taking the select low for the calculated value.
  • the select low is not necessarily required.
  • the average values of various reliability calculated by different elements may be calculated as the degree of the first reliability.
  • the degree of the second reliability similarly, it is not necessary to take a select low of various reliability calculated by different elements, it may be an average value.
  • all Reliability or a part of Reliability may be extracted from various Reliability calculated by different elements, and Integration ratio may be calculated based on the extracted Reliability. For example, to the sum of the extracted Reliability, by calculating the ratio of each reliability, it may be calculated Integration ratio.
  • the traveling trajectory used for control of traveling the vehicle may be calculated stepwise to calculate the target traveling trajectory of the subject vehicle after setting the target traveling route boundary or the target traveling area.
  • the subject vehicle trajectory can be calculated after calculating the area where the subject vehicle can travel using the preceding vehicle data. Therefore, it is possible to calculate the appropriate traveling trajectory suited to the traveling environment within the traveling route boundaries or traveling area of the subject vehicle while suppressing unsteadiness caused by following the preceding vehicle.
  • the controller 180 generates the preceding vehicle traveling route by means of the preceding vehicle traveling route generation function. Then, the controller 180 sets the route along the generated preceding vehicle traveling route as the target traveling route of the subject vehicle, and calculates the target traveling route boundary or the target traveling area from the set target traveling route. The controller 180 calculates the target traveling trajectory based on the calculated target traveling route boundary or target traveling area, and controls the subject vehicle along the calculated target traveling trajectory. Thus, it is possible to calculate the target traveling trajectory in accordance with the actual road environment within the road boundary or the traveling area. Specifically, since the trajectory is drawn arbitrarily in the traveling route boundary or the traveling area, it is possible to calculate the traveling trajectory so as to suppress unsteadiness caused by the preceding vehicle while, for example, suppressing the uncomfortable feeling to the occupant.
  • the detection data of the onboard sensor such as a camera is used, for example, using vehicle-to-vehicle communication or road-to-vehicle communication to acquire the information of the preceding vehicle, based on the acquired information, the preceding vehicle traveling route may be calculated.
  • the subject vehicle traveling route may also be calculated based on the data obtained by using vehicle-to-vehicle communication or road-to-vehicle communication.
  • the preceding vehicle is not limited to a vehicle immediately before the subject vehicle, but may be the preceding vehicle two or more vehicles ahead of the subject vehicle.
  • the onboard sensor cannot acquire the information from two or more preceding vehicle devices, it is sufficient to acquire the required data using vehicle-to-vehicle communication or road-to-vehicle communication.

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Families Citing this family (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11538287B2 (en) * 2019-09-20 2022-12-27 Sonatus, Inc. System, method, and apparatus for managing vehicle data collection
US12261747B2 (en) * 2019-09-20 2025-03-25 Sonatus, Inc. System, method, and apparatus to execute vehicle communications using a zonal architecture
US11411823B2 (en) * 2019-09-20 2022-08-09 Sonatus, Inc. System, method, and apparatus to support mixed network communications on a vehicle
CN112578777A (zh) * 2019-09-27 2021-03-30 苏州宝时得电动工具有限公司 自主机器人及其行走路径规划方法、装置和存储介质
US12528442B2 (en) * 2020-03-06 2026-01-20 Sonatus, Inc. System, method, and apparatus for managing vehicle data collection
US12094259B2 (en) 2020-03-06 2024-09-17 Sonatus, Inc. System, method, and apparatus for managing vehicle automation
US12103479B2 (en) * 2020-03-06 2024-10-01 Sonatus, Inc. System, method, and apparatus for managing vehicle automation
US12573245B2 (en) 2020-03-06 2026-03-10 Sonatus, Inc. System, method, and apparatus for managing vehicle automation
US11772583B2 (en) 2020-03-06 2023-10-03 Sonatus, Inc. System, method, and apparatus for managing vehicle automation
US12211323B2 (en) 2020-03-06 2025-01-28 Sonatus, Inc. System, method, and apparatus for managing vehicle automation
US12403921B2 (en) 2020-03-06 2025-09-02 Sonatus, Inc. System, method, and apparatus for managing vehicle automation
JP7363621B2 (ja) * 2020-03-17 2023-10-18 トヨタ自動車株式会社 情報処理装置、情報処理方法、及び、プログラム
JP7537978B2 (ja) * 2020-10-02 2024-08-21 株式会社Subaru 車両制御システム
JP7498079B2 (ja) * 2020-10-02 2024-06-11 株式会社Subaru 車両制御システム
DE112020007559B4 (de) * 2020-12-10 2025-07-17 Mitsubishi Electric Corporation Fahrassistenzregelungsvorrichtung und Fahrassistenzregelungsverfahren
CN112990087B (zh) * 2021-04-08 2022-08-19 济南博观智能科技有限公司 一种车道线检测方法、装置、设备及可读存储介质
KR20230118744A (ko) 2022-02-04 2023-08-14 현대자동차주식회사 자율 주행 차량 및 그를 원격 제어하는 방법
WO2024122485A1 (fr) 2022-12-07 2024-06-13 日立Astemo株式会社 Dispositif, procédé et système de commande de véhicule
JP2024087350A (ja) * 2022-12-19 2024-07-01 本田技研工業株式会社 車両制御装置、車両制御方法、およびプログラム
CN115965755B (zh) * 2023-01-17 2025-08-08 重庆长安汽车股份有限公司 高精地图数据存储介质及高精地图自动化生成方法
KR20250089599A (ko) * 2023-12-11 2025-06-19 주식회사 에이치엘클레무브 차량 제어 방법 및 그 장치
KR20250089596A (ko) * 2023-12-11 2025-06-19 주식회사 에이치엘클레무브 차량 제어 방법 및 그 장치

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4757668B2 (ja) * 2006-03-14 2011-08-24 オムロンオートモーティブエレクトロニクス株式会社 車両検出装置
JP2010235062A (ja) * 2009-03-31 2010-10-21 Equos Research Co Ltd 車両制御装置、車両、及び車両制御プログラム
RU2624373C1 (ru) * 2013-07-19 2017-07-03 Ниссан Мотор Ко., Лтд. Устройство помощи в вождении для транспортного средства и способ помощи в вождении для транспортного средства
JP6154348B2 (ja) 2014-03-28 2017-06-28 株式会社Ｓｏｋｅｎ 走行経路生成装置
JP5991340B2 (ja) * 2014-04-28 2016-09-14 トヨタ自動車株式会社 運転支援装置
JP5982034B1 (ja) * 2015-03-30 2016-08-31 富士重工業株式会社 車両の運転支援システム
JP6507841B2 (ja) * 2015-05-20 2019-05-08 株式会社豊田中央研究所 先行車両推定装置及びプログラム
JP6323402B2 (ja) * 2015-07-01 2018-05-16 株式会社デンソー 車線内走行制御装置、車線内走行制御方法
JP6432468B2 (ja) * 2015-08-28 2018-12-05 株式会社デンソー 車両制御装置及び走路推定方法
JP6468136B2 (ja) * 2015-09-09 2019-02-13 株式会社デンソー 走行支援装置及び走行支援方法
JP6561704B2 (ja) * 2015-09-09 2019-08-21 株式会社デンソー 運転支援装置、及び運転支援方法
JP2017182521A (ja) 2016-03-31 2017-10-05 日立オートモティブシステムズ株式会社 車両用走行制御装置
JP6788425B2 (ja) * 2016-08-10 2020-11-25 株式会社Ｓｕｂａｒｕ 車両の走行制御装置
JP6613223B2 (ja) * 2016-11-17 2019-11-27 株式会社デンソー 走行制御装置
JP6583252B2 (ja) * 2016-12-27 2019-10-02 トヨタ自動車株式会社 運転支援装置
JP6438516B2 (ja) * 2017-03-31 2018-12-12 株式会社Ｓｕｂａｒｕ 車両の走行制御装置
MX2020001209A (es) * 2017-08-02 2020-03-20 Nissan Motor Metodo de asistencia de viaje y dispositivo de asistencia de viaje.
US12030521B2 (en) * 2018-03-23 2024-07-09 Mitsubishi Electric Corporation Path generation device and vehicle control system

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US11845471B2 (en) 2023-12-19
CN112352270B (zh) 2023-03-28
RU2758225C1 (ru) 2021-10-26
EP3816965A4 (fr) 2022-02-09
US20210155267A1 (en) 2021-05-27
WO2020002964A1 (fr) 2020-01-02
JP6962469B2 (ja) 2021-11-05
CN112352270A (zh) 2021-02-09
EP3816965B1 (fr) 2026-01-07

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